Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/46150
Título: Is it possible to automatically identify who has forged my signature? Approaching to the identification of a static signature forger
Autores/as: Ferrer, Miguel A. 
Morales, Aythami
Vargas, J. Francisco
Lemos, Ivan
Quintero, Mónica
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: handwritten character recognition
feature extraction
document image processing
Fecha de publicación: 2012
Conferencia: 10th IAPR International Workshop on Document Analysis Systems, DAS 2012 
Resumen: The automatic handwritten signature verification is an open problem for the scientific community. The most of the published studies examine a generic document trying to locate where the signature has been written, to segment the signature removing complex backgrounds containing lines and letter and to determining whether the signature was made by the owner. However, there are no studies to determine automatically the author of a fake. This paper presents a first approach to the identification of a static signature forger. The underlying hypothesis is the fact that a forger finds difficult to fight against their own free natural way of writing, leading to the second hypothesis that under several conditions it is possible to isolate these features to determine a fake within a population of known forgers. The experiments shown that gray level based features are a good start point to detect who has written the signatures.
URI: http://hdl.handle.net/10553/46150
ISBN: 9780769546612
DOI: 10.1109/DAS.2012.47
Fuente: Proceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012 (6195358), p. 175-179
Colección:Actas de congresos
miniatura
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